Subband-Based Blind Separation for Convolutive Mixtures of Speech

  title={Subband-Based Blind Separation for Convolutive Mixtures of Speech},
  author={Shoko Araki and Shoji Makino and Robert Aichner and Tsuyoki Nishikawa and Hiroshi Saruwatari},
  journal={IEICE Transactions},
We propose utilizing subband-based blind source separation (BSS) for convolutive mixtures of speech. This is motivated by the drawback of frequency-domain BSS, i.e., when a long frame with a fixed long frame-shift is used to cover reverberation, the number of samples in each frequency decreases and the separation performance is degraded. In subband BSS, (1) by using a moderate number of subbands, a sufficient number of samples can be held in each subband, and (2) by using FIR filters in each… CONTINUE READING
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